How to resolve the algorithm Greatest subsequential sum step by step in the C++ programming language
Published on 7 June 2024 03:52 AM
How to resolve the algorithm Greatest subsequential sum step by step in the C++ programming language
Table of Contents
Problem Statement
Given a sequence of integers, find a continuous subsequence which maximizes the sum of its elements, that is, the elements of no other single subsequence add up to a value larger than this one.
An empty subsequence is considered to have the sum of 0; thus if all elements are negative, the result must be the empty sequence.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Greatest subsequential sum step by step in the C++ programming language
Purpose: The provided C++ code implements the max_subseq function, which finds a contiguous subsequence within a given sequence of integers that maximizes the sum of its elements.
Implementation Details:
1. max_subseq Function:
- Template: The max_subseq function is a function template that takes a forward iterator begin and end as arguments. Forward iterators allow traversing a sequence in one direction (forward).
- Variables:
- seq_begin, seq_end: Track the start and end of the maximum subsequence.
- seq_sum: Stores the sum of the maximum subsequence.
- current_begin: Tracks the start of the current subsequence being considered.
- current_sum: Stores the sum of the current subsequence.
- zero: Represents the neutral element for adding integers, which is typically 0.
- Loop: The function iterates through the input sequence:
- For each element value, it checks if value is positive.
- If value is positive:
- If the current_sum is negative, it resets current_sum to zero and sets current_begin to the current iterator.
- Otherwise, it increases current_sum by value.
- If value is negative:
- If the seq_sum is less than the current_sum:
- Updates seq_begin, seq_end, and seq_sum to represent the current subsequence.
- If the seq_sum is less than the current_sum:
- Final Check: After the loop finishes, it checks if the seq_sum is less than the current_sum. In this case, it updates seq_begin, seq_end, and seq_sum to represent the current subsequence, which is the maximum subsequence.
2. main Function:
- Test Array: The array variable contains the sequence of integers to find the maximum subsequence.
- Finding the Subsequence: The code calls max_subseq with the array's begin and end iterators, stored in seq.
- Output: The code then prints the maximum subsequence by copying its elements from seq.first to seq.second to the standard output using an ostream_iterator.
Source code in the cpp programming language
#include <utility> // for std::pair
#include <iterator> // for std::iterator_traits
#include <iostream> // for std::cout
#include <ostream> // for output operator and std::endl
#include <algorithm> // for std::copy
#include <iterator> // for std::output_iterator
// Function template max_subseq
//
// Given a sequence of integers, find a subsequence which maximizes
// the sum of its elements, that is, the elements of no other single
// subsequence add up to a value larger than this one.
//
// Requirements:
// * ForwardIterator is a forward iterator
// * ForwardIterator's value_type is less-than comparable and addable
// * default-construction of value_type gives the neutral element
// (zero)
// * operator+ and operator< are compatible (i.e. if a>zero and
// b>zero, then a+b>zero, and if a<zero and b<zero, then a+b<zero)
// * [begin,end) is a valid range
//
// Returns:
// a pair of iterators describing the begin and end of the
// subsequence
template<typename ForwardIterator>
std::pair<ForwardIterator, ForwardIterator>
max_subseq(ForwardIterator begin, ForwardIterator end)
{
typedef typename std::iterator_traits<ForwardIterator>::value_type
value_type;
ForwardIterator seq_begin = begin, seq_end = seq_begin;
value_type seq_sum = value_type();
ForwardIterator current_begin = begin;
value_type current_sum = value_type();
value_type zero = value_type();
for (ForwardIterator iter = begin; iter != end; ++iter)
{
value_type value = *iter;
if (zero < value)
{
if (current_sum < zero)
{
current_sum = zero;
current_begin = iter;
}
}
else
{
if (seq_sum < current_sum)
{
seq_begin = current_begin;
seq_end = iter;
seq_sum = current_sum;
}
}
current_sum += value;
}
if (seq_sum < current_sum)
{
seq_begin = current_begin;
seq_end = end;
seq_sum = current_sum;
}
return std::make_pair(seq_begin, seq_end);
}
// the test array
int array[] = { -1, -2, 3, 5, 6, -2, -1, 4, -4, 2, -1 };
// function template to find the one-past-end pointer to the array
template<typename T, int N> int* end(T (&arr)[N]) { return arr+N; }
int main()
{
// find the subsequence
std::pair<int*, int*> seq = max_subseq(array, end(array));
// output it
std::copy(seq.first, seq.second, std::ostream_iterator<int>(std::cout, " "));
std::cout << std::endl;
return 0;
}
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